Sponsored search auctions: Recent advances and future directions
Sponsored search has been proven to be a successful business model, and sponsored
search auctions have become a hot research direction. There have been many exciting …
search auctions have become a hot research direction. There have been many exciting …
[PDF][PDF] Fairness in the autobidding world with machine-learned advice
The increasing availability of real-time data has fueled the prevalence of algorithmic bidding
(or autobidding) in online advertising markets, and has enabled online ad platforms to …
(or autobidding) in online advertising markets, and has enabled online ad platforms to …
Improving post-click user engagement on native ads via survival analysis
In this paper we focus on estimating the post-click engagement on native ads by predicting
the dwell time on the corresponding ad landing pages. To infer relationships between …
the dwell time on the corresponding ad landing pages. To infer relationships between …
Promoting positive post-click experience for in-stream yahoo gemini users
M Lalmas, J Lehmann, G Shaked, F Silvestri… - Proceedings of the 21th …, 2015 - dl.acm.org
Click-through rate (CTR) is the most common metric used to assess the performance of an
online advert; another performance of an online advert is the user post-click experience. In …
online advert; another performance of an online advert is the user post-click experience. In …
You must have clicked on this ad by mistake! Data-driven identification of accidental clicks on mobile ads with applications to advertiser cost discounting and click …
In the cost per click pricing model, an advertiser pays an ad network only when a user clicks
on an ad; in turn, the ad network gives a share of that revenue to the publisher where the ad …
on an ad; in turn, the ad network gives a share of that revenue to the publisher where the ad …
Multi-Head Online Learning for Delayed Feedback Modeling
H Gao, Y Yang - arXiv preprint arXiv:2205.12406, 2022 - arxiv.org
In online advertising, it is highly important to predict the probability and the value of a
conversion (eg, a purchase). It not only impacts user experience by showing relevant ads …
conversion (eg, a purchase). It not only impacts user experience by showing relevant ads …
Engagement estimation in advertisement videos with eeg
S Balasubramanian, SS Gullapuram… - arXiv preprint arXiv …, 2018 - arxiv.org
Engagement is a vital metric in the advertising industry and its automatic estimation has
huge commercial implications. This work presents a basic and simple framework for …
huge commercial implications. This work presents a basic and simple framework for …
Individual Welfare Guarantees in the Autobidding World with Machine-learned Advice
Online advertising channels commonly focus on maximizing total advertiser welfare to
enhance channel health, and previous literature has studied augmenting ad auctions with …
enhance channel health, and previous literature has studied augmenting ad auctions with …
Empirical analysis of search advertising strategies
BC Vattikonda, V Dave, S Guha… - Proceedings of the 2015 …, 2015 - dl.acm.org
Top search ad placement is the coin of today's Internet services realm. An entire industry of
search engine marketing companies have emerged to help advertisers optimize their ad …
search engine marketing companies have emerged to help advertisers optimize their ad …
A Bayesian approach for accurate classification-based aggregates
QA Meertens, CGH Diks, HJ van den Herik… - Proceedings of the 2019 …, 2019 - SIAM
In this paper, we study the accuracy of values aggregated over classes predicted by a
classification algorithm. The problem is that the resulting aggregates (eg, sums of a variable) …
classification algorithm. The problem is that the resulting aggregates (eg, sums of a variable) …